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ORCIDNatasa Przulj
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- affiliation: Imperial College of Science, Technology and Medicine, London, UK
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2020 – today
- 2024
[i6]Natasa Przulj, Noël Malod-Dognin:
Simplicity within biological complexity. CoRR abs/2405.09595 (2024)- [i5]Sam F. L. Windels, Noël Malod-Dognin, Natasa Przulj:
Graphlets correct for the topological information missed by random walks. CoRR abs/2405.14194 (2024) - [i4]Alexandros Xenos, Noël Malod-Dognin, Natasa Przulj:
Simplifying complex machine learning by linearly separable network embedding spaces. CoRR abs/2410.01865 (2024) - 2023
- [j41]Sergio Doria-Belenguer
, Alexandros Xenos, Gaia Ceddia, Noël Malod-Dognin, Natasa Przulj:
A functional analysis of omic network embedding spaces reveals key altered functions in cancer. Bioinform. 39(5) (2023) - 2022
- [j40]Sam F. L. Windels, Noël Malod-Dognin, Natasa Przulj:
Identifying cellular cancer mechanisms through pathway-driven data integration. Bioinform. 38(18): 4344-4351 (2022) - [j39]Rok Hribar, Timotej Hrga, Gregor Papa, Gasper Petelin, Janez Povh, Natasa Przulj, Vida Vukasinovic:
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. J. Glob. Optim. 82(2): 283-312 (2022) - 2021
- [j38]Jose Lugo-Martinez, Daniel Zeiberg, Thomas Gaudelet, Noël Malod-Dognin, Natasa Przulj, Predrag Radivojac:
Classification in biological networks with hypergraphlet kernels. Bioinform. 37(7): 1000-1007 (2021) - [j37]Alexandros Xenos, Noël Malod-Dognin, S. Milinkovic, Natasa Przulj:
Linear functional organization of the omic embedding space. Bioinform. 37(21): 3839-3847 (2021) - [j36]Diego Azael Salazar, Natasa Przulj, Carlos F. Valencia:
Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets. Bioinform. 37(24): 4801-4809 (2021) - 2020
- [j35]Noël Malod-Dognin, Vera Pancaldi, Alfonso Valencia, Natasa Przulj:
Chromatin network markers of leukemia. Bioinform. 36(Supplement-1): i455-i463 (2020) - [j34]Sergio Doria-Belenguer, Markus K. Youssef, René Böttcher, Noël Malod-Dognin, Natasa Przulj:
Probabilistic graphlets capture biological function in probabilistic molecular networks. Bioinform. 36(Supplement-2): i804-i812 (2020) - [i3]Rok Hribar, Timotej Hrga, Gregor Papa, Gasper Petelin, Janez Povh, Natasa Przulj, Vida Vukasinovic:
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. CoRR abs/2012.05963 (2020)
2010 – 2019
- 2019
- [j33]Noël Malod-Dognin, Natasa Przulj:
Functional geometry of protein interactomes. Bioinform. 35(19): 3727-3734 (2019) - [j32]Sam F. L. Windels, Noël Malod-Dognin, Natasa Przulj:
Graphlet Laplacians for topology-function and topology-disease relationships. Bioinform. 35(24): 5226-5234 (2019) - 2018
- [j31]Thomas Gaudelet, Noël Malod-Dognin, Natasa Przulj:
Higher-order molecular organization as a source of biological function. Bioinform. 34(17): i944-i953 (2018) - 2017
- [j30]Ömer Nebil Yaveroglu, Noël Malod-Dognin, Tijana Milenkovic, Natasa Przulj:
Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods. Bioinform. 33(7): 1107-1109 (2017) - [j29]Noël Malod-Dognin, Natasa Przulj:
Omics Data Complementarity Underlines Functional Cross-Communication in Yeast. J. Integr. Bioinform. 14(2) (2017) - 2016
- [j28]Vladimir Gligorijevic, Noël Malod-Dognin, Natasa Przulj:
Fuse: multiple network alignment via data fusion. Bioinform. 32(8): 1195-1203 (2016) - [c5]Vladimir Gligorijevic, Noël Malod-Dognin, Natasa Przulj:
Patient-Specific Data Fusion for Cancer Stratification and Personalised Treatment. PSB 2016: 321-332 - [i2]Anida Sarajlic, Noël Malod-Dognin, Ömer Nebil Yaveroglu, Natasa Przulj:
Predictive Functional Connectivity of Real-World Systems. CoRR abs/1603.05470 (2016) - 2015
- [j27]Darren Davis, Ömer Nebil Yaveroglu, Noël Malod-Dognin, Aleksandar Stojmirovic, Natasa Przulj:
Topology-function conservation in protein-protein interaction networks. Bioinform. 31(10): 1632-1639 (2015) - [j26]Noël Malod-Dognin, Natasa Przulj:
L-GRAAL: Lagrangian graphlet-based network aligner. Bioinform. 31(13): 2182-2189 (2015) - [j25]Ömer Nebil Yaveroglu, Tijana Milenkovic, Natasa Przulj:
Proper evaluation of alignment-free network comparison methods. Bioinform. 31(16): 2697-2704 (2015) - 2014
- [j24]Noël Malod-Dognin, Natasa Przulj:
GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity. Bioinform. 30(9): 1259-1265 (2014) - [j23]Vladimir Gligorijevic, Vuk Janjic, Natasa Przulj:
Integration of molecular network data reconstructs Gene Ontology. Bioinform. 30(17): 594-600 (2014) - [j22]Kai Sun, Joana P. Gonçalves, Chris Larminie, Natasa Przulj:
Predicting disease associations via biological network analysis. BMC Bioinform. 15: 304 (2014) - [j21]Vuk Janjic, Natasa Przulj:
The Topology of the Growing Human Interactome Data. J. Integr. Bioinform. 11(2) (2014) - [i1]Omer Nebil Yaveroglu, Sean M. Fitzhugh, Maciej Kurant, Athina Markopoulou, Carter T. Butts, Natasa Przulj:
ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics. CoRR abs/1405.7348 (2014) - 2013
- [j20]Wayne B. Hayes, Kai Sun, Natasa Przulj:
Graphlet-based measures are suitable for biological network comparison. Bioinform. 29(4): 483-491 (2013) - 2011
- [j19]Oleksii Kuchaiev, Natasa Przulj:
Integrative network alignment reveals large regions of global network similarity in yeast and human. Bioinform. 27(10): 1390-1396 (2011) - [j18]Oleksii Kuchaiev, Aleksandar Stevanovic, Wayne B. Hayes, Natasa Przulj:
GraphCruch 2: Software tool for network modeling, alignment and clustering. BMC Bioinform. 12: 24 (2011) - [j17]Natasa Przulj:
Introduction to the Special Issue on Biological Networks. Internet Math. 7(4): 207-208 (2011) - [c4]Brahim Betkaoui, David B. Thomas, Wayne Luk, Natasa Przulj:
A framework for FPGA acceleration of large graph problems: Graphlet counting case study. FPT 2011: 1-8 - 2010
- [j16]Natasa Przulj:
Biological network comparison using graphlet degree distribution. Bioinform. 26(6): 853-854 (2010) - [j15]Hsiang Ho, Tijana Milenkovic, Vesna Memisevic, Jayavani Aruri, Natasa Przulj, Anand K. Ganesan:
Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets. BMC Syst. Biol. 4: 84 (2010) - [j14]Vesna Memisevic, Tijana Milenkovic, Natasa Przulj:
An integrative approach to modeling biological networks. J. Integr. Bioinform. 7(3) (2010) - [j13]Vesna Memisevic, Tijana Milenkovic, Natasa Przulj:
Complementarity of network and sequence information in homologous proteins. J. Integr. Bioinform. 7(3) (2010) - [c3]Natasa Przulj, Oleksii Kuchaiev, Aleksandar Stevanovic, Wayne B. Hayes:
Geometric Evolutionary Dynamics of Protein Interaction Networks. Pacific Symposium on Biocomputing 2010: 178-189 - [p1]Natasa Przulj:
From Topology to Phenotype in Protein-Protein Interaction Networks. Network Science 2010: 31-49
2000 – 2009
- 2009
- [j12]Oleksii Kuchaiev, Marija Rasajski, Desmond J. Higham, Natasa Przulj:
Geometric De-noising of Protein-Protein Interaction Networks. PLoS Comput. Biol. 5(8) (2009) - [c2]Oleksii Kuchaiev, Natasa Przulj:
Learning the Structure of Protein-Protein Interaction Networks. Pacific Symposium on Biocomputing 2009: 39-50 - 2008
- [j11]Desmond J. Higham, Marija Rasajski, Natasa Przulj:
Fitting a geometric graph to a protein-protein interaction network. Bioinform. 24(8): 1093-1099 (2008) - [j10]Tijana Milenkovic, Jason Lai, Natasa Przulj:
GraphCrunch: A tool for large network analyses. BMC Bioinform. 9 (2008) - 2007
- [j9]Natasa Przulj:
Biological network comparison using graphlet degree distribution. Bioinform. 23(2): 177-183 (2007) - [j8]Fereydoun Hormozdiari, Petra Berenbrink, Natasa Przulj, Süleyman Cenk Sahinalp:
Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution. PLoS Comput. Biol. 3(7) (2007) - 2006
- [j7]Natasa Przulj, Derek G. Corneil, Igor Jurisica:
Efficient estimation of graphlet frequency distributions in protein-protein interaction networks. Bioinform. 22(8): 974-980 (2006) - [c1]Fereydoun Hormozdiari, Petra Berenbrink, Natasa Przulj, Süleyman Cenk Sahinalp:
Not All Scale Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Emulation. Systems Biology and Computational Proteomics 2006: 1-13 - 2005
- [b1]Natasa Przulj:
Analyzing large biological networks: protein-protein interactions example. University of Toronto, Canada, 2005 - [j6]Natasa Przulj, Derek G. Corneil:
2-Tree probe interval graphs have a large obstruction set. Discret. Appl. Math. 150(1-3): 216-231 (2005) - 2004
- [j5]Natasa Przulj, Dennis A. Wigle, Igor Jurisica:
Functional topology in a network of protein interactions. Bioinform. 20(3): 340-348 (2004) - [j4]Andrew D. King, Natasa Przulj, Igor Jurisica:
Protein complex prediction via cost-based clustering. Bioinform. 20(17): 3013-3020 (2004) - [j3]Natasa Przulj, Derek G. Corneil, Igor Jurisica:
Modeling interactome: scale-free or geometric?. Bioinform. 20(18): 3508-3515 (2004) - [j2]Natasa Przulj, Derek G. Corneil, Ekkehard Köhler:
Hereditary dominating pair graphs. Discret. Appl. Math. 134(1-3): 239-261 (2004)
1990 – 1999
- 1998
- [j1]Arthur L. Liestman, Natasa Przulj:
Minimum Average Time Broadcast Graphs. Parallel Process. Lett. 8(2): 139-140 (1998)
Coauthor Index
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